Cooper-Standard Holdings (CPS) Land & Improvements (2016 - 2022)
Cooper-Standard Holdings (CPS) reported Land & Improvements of $40.89 million for Q3 2022, down 9.0% from $44.91 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Cooper-Standard Holdings (CPS) Land & Improvements (2016 - 2022) Analysis & Trends
At the end of FY2021, Cooper-Standard Holdings posted Land & Improvements of $44.5 million, down 27.3% from FY2020.
- Land & Improvements has declined for four consecutive years, with a five-year compound annual growth rate of -8.9% (FY2016 to FY2021).
- By year, Land & Improvements came in at $61.23 million in FY2020 (-8.2%), $66.67 million in FY2019 (-8.6%), $72.93 million in FY2018 (-0.7%) and $73.42 million in FY2017 (+3.4%).
- The Q3 2022 figure ranks as the lowest quarterly Land & Improvements in data going back to Q4 2016.
- Year over year, Land & Improvements has now declined in each of the last five quarters, with an average decline of 14.4% over the last eight quarters.
- The high point for year-over-year Land & Improvements in five years was Q1 2018 (growth of 10.9%); the low point was Q2 2022 (a decline of 27.8%).
- Per Business Quant data, the three quarters before Q3 2022 came in at $42.61 million (Q2 2022), $44.12 million (Q1 2022) and $44.5 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 8.55 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | - |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | - |
| 10 | Cooper-Standard Holdings | 369.78 Mn | -222.97 Mn | 83.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 40.89 Mn |
| Jun 30, 2022 | 42.61 Mn |
| Mar 31, 2022 | 44.12 Mn |
| Dec 31, 2021 | 44.50 Mn |
| Sep 30, 2021 | 44.91 Mn |
| Jun 30, 2021 | 58.98 Mn |
| Mar 31, 2021 | 58.33 Mn |
| Dec 31, 2020 | 61.23 Mn |
| Sep 30, 2020 | 59.14 Mn |
| Jun 30, 2020 | 57.45 Mn |
| Mar 31, 2020 | 56.57 Mn |
| Dec 31, 2019 | 66.67 Mn |
| Sep 30, 2019 | 66.48 Mn |
| Jun 30, 2019 | 72.46 Mn |
| Mar 31, 2019 | 72.21 Mn |
| Dec 31, 2018 | 72.93 Mn |
| Sep 30, 2018 | 68.79 Mn |
| Jun 30, 2018 | 72.19 Mn |
| Mar 31, 2018 | 75.30 Mn |
| Dec 31, 2017 | 73.42 Mn |
API Access
Cooper-Standard Holdings Land & Improvements API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=land-and-improvements&ticker=CPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "CPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();